otero-gpt2

This model is a fine-tuned version of DeepESP/gpt2-spanish on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.3286

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	8	3.4334
No log	2.0	16	2.9012
No log	3.0	24	2.5428
No log	4.0	32	2.2899
No log	5.0	40	2.0870
No log	6.0	48	1.9174
No log	7.0	56	1.7828
No log	8.0	64	1.6713
No log	9.0	72	1.5755
No log	10.0	80	1.4974
No log	11.0	88	1.4378
No log	12.0	96	1.3909
No log	13.0	104	1.3567
No log	14.0	112	1.3362
No log	15.0	120	1.3286

Framework versions

• Transformers 4.56.1
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.0